How to insert leading zeros into a left-justisfied zip code?
e.g. Zip code is written as 60320 which is left-justified to make it be read as 0060320.
We have to move it to right-justifiable then insert 2 leading zeros into it... ;) (1 Reply)
Hi All,
I am working with a fixed width file Forrmat.
C1 Number (10,3)
C2 Number (10,3)
e.g.
c1= 0000000100.000
c2= 0000000020.000
0000000100.0000000000020.000
I have to perform c1 - c2 . i.e. I want answer to be 0000000080.000. but I am loosing the leading zeros( only getting... (3 Replies)
Hi all,
I have file with numeric values. I need to pad each value with leading zeros such that total lenght of each value is 16.
Example:
cat tmp.txt
502455
50255
5026
5027
5028
Output
0000000000502455
0000000000050255
0000000000005026
0000000000005027
0000000000005028
Any... (12 Replies)
HEllo All,
when the data file is being attached and mailed as file1.csv, the column data( e.g: 88E00, 99E00, 77F12, 66H18).
The data 88E00 and 99E00 is being converted to 88E+01, 99E+01.
All other data is fine.
I need the file attached as .csv from unix only.
Is there a way we can manage... (2 Replies)
Hi
i need help in adding leading zero to filenames
e.g file name in my folder are
1_234sd.txt
23_234sd.txt
the output i need is
001_234sd.txt
023_234sd.txt
can i do this shell scripting
please help (2 Replies)
Hi,
i have a variable which conatins values like 00001,0003,00067,00459.
I want to use the values one by one and in the same form as they are like 00001,0003,00067,00459.
Also can anyone tell me how to increment those numbers by 1,keeping the format as same like 00002,0004,00068,00460.... (5 Replies)
I have a list of numbers extracted and need to delete the leading zeros from them, but when i do so, the command I am using also deletes numbers that end in Zero as well. eg 10, 20, 30, etc
this is part of a larger script and the only way I can think of is to try and detect the 10,20 30 etc in... (19 Replies)
Hello,
I have a pipe separated file with two major lines. One is header and another is detail line. Header starts with H and Detail start with D.
Sample Content:
H|123456|Joes Watson|UK|4/5/2016|12/5/2016|3456|HC|NW||||||
D|123456|Joes... (13 Replies)
Hi All,
I am using a informatica job to create a csv file and a unix script the mail the generated file.Everything is working fine but I am not seeing leading zeros in the csv file sent in the mail.These zeros were present when the .csv file was generated by informatica procees.
Is there any... (11 Replies)
Discussion started by: karthik adiga
11 Replies
LEARN ABOUT MOJAVE
mpscnnbatchnormalizationnode
MPSCNNBatchNormalizationNode(3) MetalPerformanceShaders.framework MPSCNNBatchNormalizationNode(3)NAME
MPSCNNBatchNormalizationNode
SYNOPSIS
#import <MPSNNGraphNodes.h>
Inherits MPSNNFilterNode.
Instance Methods
(nonnull instancetype) - initWithSource:dataSource:
Class Methods
(nonnull instancetype) + nodeWithSource:dataSource:
Properties
MPSCNNBatchNormalizationFlags flags
Detailed Description
A node representing batch normalization for inference or training Batch normalization operates differently for inference and training. For
inference, the normalization is done according to a static statistical representation of data saved during training. For training, this
representation is ever evolving. In the low level MPS batch normalization interface, during training, the batch normalization is broken up
into two steps: calculation of the statistical representation of input data, followed by normalization once the statistics are known for
the entire batch. These are MPSCNNBatchNormalizationStatistics and MPSCNNBatchNormalization, respectively.
When this node appears in a graph and is not required to produce a MPSCNNBatchNormalizationState -- that is,
MPSCNNBatchNormalizationNode.resultState is not used within the graph -- then it operates in inference mode and new batch-only statistics
are not calculated. When this state node is consumed, then the node is assumed to be in training mode and new statistics will be calculated
and written to the MPSCNNBatchNormalizationState and passed along to the MPSCNNBatchNormalizationGradient and
MPSCNNBatchNormalizationStatisticsGradient as necessary. This should allow you to construct an identical sequence of nodes for inference
and training and expect the to right thing happen.
Method Documentation
- (nonnull instancetype) initWithSource: (MPSNNImageNode *__nonnull) source(nonnull id< MPSCNNBatchNormalizationDataSource >) dataSource
+ (nonnull instancetype) nodeWithSource: (MPSNNImageNode *__nonnull) source(nonnull id< MPSCNNBatchNormalizationDataSource >) dataSource
Property Documentation
- (MPSCNNBatchNormalizationFlags) flags [read], [write], [nonatomic], [assign]
Options controlling how batch normalization is calculated Default: MPSCNNBatchNormalizationFlagsDefault
Author
Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code.
Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNBatchNormalizationNode(3)